Jeong Hun Lee

Carnegie Mellon University

Papers

1

Total Citations

5

H-Index

1

About

Jeong Hun Lee is a leading researcher at the intersection of robotics and computational physics, whose work is pioneering differentiable simulation for robotic systems. His primary research areas include fluid-structure interaction, differentiable physics engines, and simulation-based robot control. Lee’s most notable contribution is the development of **Aquarium**, a fully differentiable fluid-structure interaction solver introduced in 2023. This groundbreaking framework provides stable, two-dimensional simulation of coupled fluid-robot physics, enabling robots to learn and optimize behaviors in complex, fluid-filled environments. Crucially, Aquarium’s full differentiability with respect to both fluid and robot states and parameters allows for gradient-based optimization, a key advancement for training control policies. While still early in its impact, with 5 citations, Aquarium represents a foundational tool for the emerging field of differentiable robotics, promising to unlock new capabilities in underwater manipulation, soft robotics, and locomotion in viscous media. Lee’s work is essential reading for students and researchers seeking to bridge the gap between high-fidelity physics simulation and modern, learning-based robot control.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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